Evidence Hub

Patterns of diet‐related practices and symptoms of gastroesophageal reflux among high school students: A cross‐sectional study

E. M. I. Putri, Sri Mulyani, Rahmawati Rahmawati, Indri Dwi Cahyani

Malahayati International Journal of Nursing and Health Science, 2023

Abstract

Background: GERD is a gastrointestinal motility disorder characterized by the reflux of gastric contents into the esophagus, causing typical symptoms such as heartburn (a burning sensation in the epigastric region), acid regurgitation (a bitter taste in the mouth), nausea, and dysphagia, which can lead to esophageal mucosal damage. Over the long term, it can result in complications like Barrett's esophagus. The prevalence of GERD in Asia was approximately 2.5%-7.8% in 2014, generally lower compared to Western countries. However, recent data indicates an increasing prevalence. Poor dietary patterns, such as irregular eating habits, consuming low-nutrient foods, excessive or insufficient food intake, can elevate gastric acid production and affect an individual's health.Purpose: To determine the relationship between dietary patterns and symptoms of Gastroesophageal Reflux Disease (GERD) among vocational high school students.Method: A quantitative study was applied using correlation analysis with a cross-sectional study approach. The research was conducted at Vocational High School Bojonegoro in January 2023. The study population comprised 305 students in grade 12. The sampling technique employed was purposive sampling, with a sample size of 74 respondents. The measurement tool for dietary pattern variables was the FFQ questionnaire, and GERD symptoms were assessed using the GERD-Q questionnaire. Data analysis techniques included univariate analysis to describe the frequency…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free